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Inflammaging and human longevity in the omics era
Inflammaging is a recent theory of aging originally proposed in 2000 where data and
conceptualizations regarding the aging of the immune system (immunosenescence) and the …
conceptualizations regarding the aging of the immune system (immunosenescence) and the …
Identification of a DNA methylation signature in blood cells from persons with Down Syndrome
Down Syndrome (DS) is characterized by a wide spectrum of clinical signs, which include
segmental premature aging of central nervous and immune systems. Although it is well …
segmental premature aging of central nervous and immune systems. Although it is well …
Overcoming resistance to conventional drugs in Ewing sarcoma and identification of molecular predictors of outcome
Purpose The improvement of Ewing sarcoma (EWS) therapy is currently linked to the
discovery of strategies to select patients with poor and good prognosis and of modified …
discovery of strategies to select patients with poor and good prognosis and of modified …
Stabilizing variable selection and regression
We consider regression in which one predicts a response 𝑌 with a set of predictors 𝑋 across
different experiments or environments. This is a common setup in many data-driven scientific …
different experiments or environments. This is a common setup in many data-driven scientific …
Machine learning-based integrative analysis of methylome and transcriptome identifies novel prognostic DNA methylation signature in uveal melanoma
Uveal melanoma (UVM) is the most common primary intraocular human malignancy with a
high mortality rate. Aberrant DNA methylation has rapidly emerged as a diagnostic and …
high mortality rate. Aberrant DNA methylation has rapidly emerged as a diagnostic and …
Identifying dysfunctional crosstalk of pathways in various regions of Alzheimer's disease brains
Background Alzheimer's disease (AD) is a major neurodegenerative disorder leading to
amnesia, cognitive impairment and dementia in the elderly. Usually this type of lesions …
amnesia, cognitive impairment and dementia in the elderly. Usually this type of lesions …
GraphPath: a graph attention model for molecular stratification with interpretability based on the pathway–pathway interaction network
T Ma, J Wang - Bioinformatics, 2024 - academic.oup.com
Motivation Studying the molecular heterogeneity of cancer is essential for achieving
personalized therapy. At the same time, understanding the biological processes that drive …
personalized therapy. At the same time, understanding the biological processes that drive …
Harnessing network pharmacology in drug discovery: an integrated approach
Traditional drug discovery approach is based on one drug-one target, that is associated with
very lengthy timelines, high costs and very low success rates. Network pharmacology (NP) is …
very lengthy timelines, high costs and very low success rates. Network pharmacology (NP) is …
Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers
Machine learning techniques for cancer prediction and biomarker discovery can hasten
cancer detection and significantly improve prognosis. Recent “OMICS” studies which include …
cancer detection and significantly improve prognosis. Recent “OMICS” studies which include …
Framework for classification of cancer gene expression data using Bayesian hyper-parameter optimization
Computational classification of cancers is an important research problem. Gene expression
data has 1000s of features, very few samples, and a class imbalance problem. In this paper …
data has 1000s of features, very few samples, and a class imbalance problem. In this paper …